List of TileDB Customers
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Since 2010, our global team of researchers has been studying TileDB customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased TileDB for Database Management from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using TileDB for Database Management include: Quest Diagnostics, a United States based Healthcare organisation with 56000 employees and revenues of $9.87 billion, Rady Children's Hospital San Diego, a United States based Healthcare organisation with 5100 employees and revenues of $800.0 million, Cellarity, a United States based Life Sciences organisation with 110 employees and revenues of $13.0 million and many others.
Contact us if you need a completed and verified list of companies using TileDB, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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Cellarity | Life Sciences | 110 | $13M | United States | TileDB | TileDB | Database Management | 2022 | n/a | In 2022 Cellarity implemented TileDB, using TileDB Cloud and TileDB-SOMA, to catalog and query large single-cell RNA-seq datasets in support of AI-driven drug discovery. TileDB was deployed as the core Database Management platform for R and Python data workflows within Cellarity research teams, enabling programmatic access to high-dimensional single-cell matrices and annotations. The implementation focused on building a FAIR single-cell catalog and query layer, combining TileDB Cloud storage and TileDB-SOMA indexing to accelerate atlas construction and iterative model training. Functional capabilities implemented included dataset cataloging, queryable matrix storage, and indexed access patterns for single-cell RNA-seq, which reduced atlas-build time from days to under an hour and materially lowered the data engineering burden for ML teams. Operational coverage centered on Cellaritys biotech R and development efforts in the United States, where the TileDB deployment standardized data governance and discoverability for research scientists and machine learning engineers. The deployment narrative emphasizes system-level cataloging and query orchestration, not third party system integrations, and documents explicit outcomes of faster atlas builds and reduced engineering overhead as stated by the customer. | |
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Quest Diagnostics | Healthcare | 56000 | $9.9B | United States | TileDB | TileDB | Database Management | 2023 | n/a | In 2023, Quest Diagnostics implemented TileDB to build an enterprise multi-omics data mesh supporting healthcare research and development in the United States. TileDB is being used as a Database Management platform to ingest and query VCFs and digital pathology images while enforcing consent and governance, and to support research informatics and bioinformatics business functions. The implementation emphasizes an ingestion layer for whole exome sequencing VCFs and a query layer for large digital pathology image sets within a mesh architecture that preserves sample-level consent metadata and governance policies. Functional capabilities deployed include high-throughput bulk ingest, appendable sample objects to eliminate the n+1 append problem, and query capabilities aligned to multi-modal omics and imaging datasets. Operational coverage is centered on Quest Diagnostics healthcare R&D, with bioinformatics, research informatics, and pathology teams consuming the platform for analytic and downstream research workflows. The deployment was validated through a proof-of-concept ingest of 114,000 whole exome sequencing files, demonstrating production ingestion patterns and throughput for enterprise multi-omics workloads. Governance was embedded in the data mesh to enforce consent and access controls at both ingest and query time, preserving auditability for sample-level policies. The proof-of-concept reported a 26% storage cost reduction, resolution of the n+1 problem for sample appends, and a measured ingestion cost of $0.01 per sample at a sustained rate of 24,000 samples per day. | |
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Rady Children's Hospital San Diego | Healthcare | 5100 | $800M | United States | TileDB | TileDB | Database Management | 2021 | n/a | In 2021 Rady Children's Hospital San Diego implemented TileDB as a Database Management solution within Rady Children’s Institute for Genomic Medicine to ingest and manage large cohorts of variant call data. The deployment centered on TileDB-VCF to operationalize variant-level storage and cohort-level access for clinical genomics use cases. The implementation configured TileDB-VCF for high-volume VCF ingestion, compressed multi-sample array storage, and query-oriented indexing to support efficient cohort queries and variant retrieval. Configuration emphasized genome-scale data organization consistent with Database Management best practices, enabling programmatic query patterns required by newborn screening and rapid whole-genome sequencing workflows. Operational scope included clinical genomics teams at Rady Children’s Institute for Genomic Medicine in San Diego and supported expanded newborn screening pipelines and rapid whole-genome sequencing clinical workflows. Governance focused on embedding TileDB-VCF into sequencing data pipelines and clinical reporting processes to ensure variant data availability for time-sensitive diagnoses. The TileDB deployment supported a 2022 NBS-rWGS study and a 2023 update reports approximately 13 TB of variant call data under management, clinical turnaround around 7 hours, and substantially lower query costs as reported by the institute. |
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